Used to analyze Apache ShardingSphere community issues. Emphasizes root-cause-first and evidence-first classification before conclusions, and by default produces copy-ready GitHub issue replies in the voice of an Apache ShardingSphere community maintainer followed by reference analysis for traceability.
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Low
Low-risk findings worth noting
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tessl review fix ./.codex/skills/analyze-issue/SKILL.mdLow
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required runtime workflow explicitly fetches and ingests GitHub issue body/comments (outsider-authored free text) via curl/GitHub API in the Intake Workflow (public web content/issue content path), which would then be placed into the agent’s LLM context for analysis.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill explicitly instructs runtime fetching of issue content that directly controls analysis using the URLs https://github.com/apache/shardingsphere/issues/${issueNO} and https://api.github.com/repos/apache/shardingsphere/issues/${issueNO}, which are used to load external content into the agent's prompts.
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